Barracuda Regular Relief Regular
Similar fonts
- Alga VF Regular Italic
- AnneBonny-LightItalic
- AR MingB5HK EB
- Belda Cond Book
- BennetTextThree Italic
- BennetTextTwo Italic
- Cambon Narrow Regular
- Candide-Italic
- Cheshirskiy Cat Roman
- CTNRoman
- Dashiell Bright Italic
- DenverSerial-Medium
- EightiesComebackIt-MdXCn
- FOTOlinvane-Italic
- FOTQuipple-Italic
- FSP DEMO - Nftl Pr Rglr Lght Bold Italic
- GimletDisplayNarrow Regular
- HAL Colant Test Italic
- Immortel Vena G1 Italic
- Immortel Vena G2 Trial Italic
- Kessler Text Italic
- Merriweather 96pt SemiCondensed Italic
- NewEspritITCPro-It
- Nikolai Narrow Light
- Olinvane-Italic
- PP Right Serif Regular
- Roslindale Deck Narrow Italic
- Signifier-LightItalic
- ST-Surzhik
- TAN - MEMORIES Italic
- Tekulas
- Teletext Trial Unlicensed Regular
- WichitaAntique-Regular
Details
How are we calculating this?
We analyze each font added to FontBase locally using the opentype.js library. We render the text off-canvas and measure key characteristics: stroke width; difference between bold and thin strokes; the relation of "x" letter height to capital letters; width of the letters compared to height; "i" size compared to "w" size. From these calculated numbers, we then build weight, proportion, xHeight and contrast. We also analyze the font's naming table to retrieve the basic info like font name, foundry and style names. No fonts are uploaded to our servers in the process.
How do we determine similar fonts?
Based on the characteristics we retrieve, on each font page, we select the fonts that have all the same parameter numbers. For example, if a font has 0.6 weight, we select fonts from our database that are in the range of 0.5-0.7 weight. We do this with all parameters combined, resulting in a similar font selection.